Dr. Robert Nguyen
Summary
Assistant Professor of Computer Science with research focus on machine learning efficiency and natural language processing. Published 15 peer-reviewed papers at top venues (h-index: 10, 500+ citations). Secured $1.5M in NSF, DARPA, and industry funding. Committed to undergraduate research mentorship and inclusive pedagogy.
Experience
Assistant Professor of Computer Science
University of Michigan
- •• Teach graduate and undergraduate courses in Machine Learning, NLP, and Deep Learning (avg student eval: 4.7/5.0)
- •• Direct research laboratory of 5 PhD students, 2 MS students, and 8 undergraduate researchers
- •• Published 7 papers at premier conferences (NeurIPS, ACL, EMNLP, ICML) since appointment, with 300+ citations
- •• Secured $800K NSF CAREER Award for research on efficient language model architectures
- •• Serve on department admissions committee and undergraduate curriculum redesign task force
Research Scientist Intern
Google Research
- •• Developed novel sparse attention mechanism reducing transformer inference cost by 40% without quality degradation
- •• Co-authored paper accepted at NeurIPS 2022 as spotlight presentation (top 5% acceptance rate)
- •• Collaborated with 3 senior research scientists on production deployment of efficient inference techniques
- •• Filed provisional patent for attention pattern pruning algorithm with improvements on 4 benchmark tasks
Graduate Research Assistant
Stanford University
- •• Conducted doctoral research on efficient transformer architectures under Prof. Christopher Manning
- •• Published 8 papers during PhD including 3 first-author publications at ACL and EMNLP
- •• Taught CS224N (Natural Language Processing with Deep Learning) as head TA for 2 quarters (400+ students)
- •• Secured $200K DARPA grant for research on low-resource language understanding
Education
Doctor of Philosophy in Computer Science
Stanford University
Dissertation: "Efficient Transformers for Long-Context Understanding." Advisor: Prof. Christopher Manning.
Bachelor of Science in Electrical Engineering & Computer Science
MIT
GPA: 4.8/5.0. Tau Beta Pi. Undergraduate Research Opportunities Program (3 years). Valedictorian.
Skills
Machine Learning • Natural Language Processing • PyTorch • TensorFlow • Research Design • Grant Writing • Teaching & Mentorship • Python • LaTeX • Academic Publishing • Peer Review • Public Speaking
Selected Publications
Nguyen et al. "Efficient Attention via Structured Sparsity" — NeurIPS 2022 (Spotlight) Nguyen & Manning. "Long-Range Transformers Without Quadratic Cost" — ACL 2021 (Best Paper Honorable Mention) Nguyen et al. "Adaptive Computation for Efficient NLU" — EMNLP 2023 15 total publications | h-index: 10 | 500+ citations (Google Scholar)
Dr. Robert Nguyen
Summary
Assistant Professor of Computer Science with research focus on machine learning efficiency and natural language processing. Published 15 peer-reviewed papers at top venues (h-index: 10, 500+ citations). Secured $1.5M in NSF, DARPA, and industry funding. Committed to undergraduate research mentorship and inclusive pedagogy.
Experience
Assistant Professor of Computer Science
University of Michigan
- •• Teach graduate and undergraduate courses in Machine Learning, NLP, and Deep Learning (avg student eval: 4.7/5.0)
- •• Direct research laboratory of 5 PhD students, 2 MS students, and 8 undergraduate researchers
- •• Published 7 papers at premier conferences (NeurIPS, ACL, EMNLP, ICML) since appointment, with 300+ citations
- •• Secured $800K NSF CAREER Award for research on efficient language model architectures
- •• Serve on department admissions committee and undergraduate curriculum redesign task force
Research Scientist Intern
Google Research
- •• Developed novel sparse attention mechanism reducing transformer inference cost by 40% without quality degradation
- •• Co-authored paper accepted at NeurIPS 2022 as spotlight presentation (top 5% acceptance rate)
- •• Collaborated with 3 senior research scientists on production deployment of efficient inference techniques
- •• Filed provisional patent for attention pattern pruning algorithm with improvements on 4 benchmark tasks
Graduate Research Assistant
Stanford University
- •• Conducted doctoral research on efficient transformer architectures under Prof. Christopher Manning
- •• Published 8 papers during PhD including 3 first-author publications at ACL and EMNLP
- •• Taught CS224N (Natural Language Processing with Deep Learning) as head TA for 2 quarters (400+ students)
- •• Secured $200K DARPA grant for research on low-resource language understanding
Education
Doctor of Philosophy in Computer Science
Stanford University
Dissertation: "Efficient Transformers for Long-Context Understanding." Advisor: Prof. Christopher Manning.
Bachelor of Science in Electrical Engineering & Computer Science
MIT
GPA: 4.8/5.0. Tau Beta Pi. Undergraduate Research Opportunities Program (3 years). Valedictorian.
Skills
Machine Learning • Natural Language Processing • PyTorch • TensorFlow • Research Design • Grant Writing • Teaching & Mentorship • Python • LaTeX • Academic Publishing • Peer Review • Public Speaking
Selected Publications
Nguyen et al. "Efficient Attention via Structured Sparsity" — NeurIPS 2022 (Spotlight) Nguyen & Manning. "Long-Range Transformers Without Quadratic Cost" — ACL 2021 (Best Paper Honorable Mention) Nguyen et al. "Adaptive Computation for Efficient NLU" — EMNLP 2023 15 total publications | h-index: 10 | 500+ citations (Google Scholar)
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